Triple
T8443007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imuhar |
E199593
|
entity |
| Predicate | relatedEthnicGroup |
P1969
|
FINISHED |
| Object | Kel Tamasheq |
E203666
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kel Tamasheq | Statement: [Imuhar, relatedEthnicGroup, Kel Tamasheq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kel Tamasheq Context triple: [Imuhar, relatedEthnicGroup, Kel Tamasheq]
-
A.
Tamasheq
chosen
Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
-
B.
Tashelhit
Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
-
C.
Beni Snous Tamazight
Beni Snous Tamazight is a Zenati Berber variety traditionally spoken by the Beni Snous community in northwestern Algeria near the Moroccan border.
-
D.
Koyraboro Senni language
The Koyraboro Senni language is a Songhay language spoken primarily along the Niger River in Mali, notably around the city of Gao.
-
E.
Tamazgha
Tamazgha is the name used by many Amazigh (Berber) people for the broader North African homeland where their communities and cultures are rooted.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe310d8e08190b871bda79acde678 |
completed | March 31, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1da3a99481909c9beae665bb5b83 |
completed | April 2, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:08 p.m.